Chaudhari, C., Purswani, G. (2023). Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review. In: Kumar, S., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Third Congress on Intelligent Systems. CIS 2022. Lecture Notes in Networks and Systems, vol 608. Springer, Singapore. https://doi.org/10.1007/978-981-19-9225-4_17
The main objective of the Python framework is easily launching custom automated browser. This framework doesn't ask you to download any browser binaries. Browser automation is very useful in data mining and automation of monotonous work.
The packages systematic-reviewpy and browser-automationpy are part of Thesis of Chandravesh chaudhari, Doctoral candidate at CHRIST (Deemed to be University), Bangalore, India under supervision of Dr. Geetanjali purswani.
- one line code to install all supported browsers.
- easy customisation for browsers such as adding extensions and changing download paths.
- easy methods for clicking buttons or inputting data into web elements.
- support for chrome, safari, mozilla, edge etc.
- No need to download binary.
- Saves time
- Automate monotonous tasks
This project is available at PyPI. For help in installation check instructions
python3 -m pip install browser-automationpy - webdriver-manager - Library provides the way to automatically manage drivers for different browsers
- selenium - The selenium package is used to automate web browser interaction from Python.
- PyAutoGUI - PyAutoGUI lets Python control the mouse and keyboard, and other GUI automation tasks.
all kinds of contributions are appreciated.